A
licenseNot graded
qualityA
maintenanceEnables AI agents to render and interact with rich HTML one-pagers on a local canvas, with tools for rendering, commenting, selection, and status queries.
6 npm
7
MIT
Terrarium
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Terrariumpublish the new pricing page for feedback"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Terrarium plugin for Claude Code
Give your agent a place to show its work to humans. Terrarium hosts the HTML your agent builds; humans review it in the browser with comments anchored to exact passages; the agent pulls that feedback over MCP, pushes fixes, and repeats until approved.
Install
/plugin marketplace add nelsonsantryhkd/terrarium-plugin
/plugin install terrarium@terrariumThen mint a token at tryterrarium.com/connect
and make it available as TERRARIUM_PAT:
export TERRARIUM_PAT="samus_pat_…"(Or just ask your agent to set Terrarium up — the bundled skill walks it through the whole flow, including sending you to /connect for the token.)
Related MCP server: anno
What it ships
MCP server (
.mcp.json) — Terrarium's remote server over Streamable HTTP with 7 tools:list_artifacts,publish_artifact,get_artifact,pull_comments,push_version,reply_to_comment,resolve_comment.Skill (
skills/terrarium/) — teaches the publish → review → fix loop, including theterrarium-feedback/1payload,expectedVersionfreshness, and comment-thread etiquette.
The protocol
pull_comments returns a versioned, structured payload
(terrarium-feedback/1) designed to be stable enough to build agents against:
review state, typed comment threads (change_request / question / bug),
text anchors with live resolution status, and reply chains. Evolution within
/1 is additive-only.
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessUnresponsive
Related MCP Connectors
Human feedback for AI agents: share HTML, get a live review link, read anchored notes as markdown.
Versioned artifact review for people and AI agents, with contextual comments and human control.
MarkupBase turns AI-generated Markdown and HTML into durable, versioned artifacts that people can review and discuss. Its MCP server lets agents publish new versions, preserve contextual comments, include hosted images, and respond to feedback through secure account-linked identities, creating a clear human review boundary without requiring real-time editing.
Share HTML and Markdown files from AI agents within your company, with versions and comments.
Related MCP Servers
- AlicenseNot gradedqualityAmaintenanceLocal-first HTML review workspace for AI coding agents, enabling direct text and formatting edits, element comments, area annotations, and slide-aware review with durable agent handoffs.1MIT
- AlicenseNot gradedqualityBmaintenanceReview AI-generated HTML slides or reports in the browser, anchor comments to specific passages, and have the agent fix them via MCP, with tools for inspection, commenting, layout checking, and export to PDF/PPTX.4MIT
livefolioofficial
AlicenseNot gradedqualityCmaintenanceEnables AI agents to create, version, review, publish, and manage interactive HTML folios locally, with support for feedback collection and sharing via tunnels.2AGPL 3.0